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Neural computation

Showing results (361-370 of 3,000) with videos related to

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Neural Computation|November 6, 1998
Density estimation by mixture models with smoothing priorsUtsugi
Neural Computation|November 6, 1998
Complexity issues in natural gradient descent method for training multilayer perceptronsH H Yang, S Amari
Neural Computation|November 6, 1998
Almost linear VC-dimension bounds for piecewise polynomial networksBartlett, Maiorov, Meir
Neural Computation|November 6, 1998
Antipredictable sequences: harder to predict than random sequencesH Zhu, W Kinzel
Neural Computation|May 15, 1997
Similarity, connectionism, and the problem of representation in visionS Edelman, S Duvdevani-Bar
Neural Computation|May 15, 1997
Dynamic model of visual recognition predicts neural response properties in the visual cortexR P Rao, D H Ballard
Neural Computation|May 15, 1997
SEEMORE: combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognitionB W Mel
Neural Computation|May 15, 1997
Image segmentation based on oscillatory correlationD Wang, D Terman
Neural Computation|May 15, 1997
Stochastic completion fields; a neural model of illusory contour shape and salienceL R Williams, D W Jacobs
Neural Computation|February 9, 1999
Narrow versus wide tuning curves: What's best for a population code?A Pouget, S Deneve, J C Ducom, et al.
Pageof 300

Showing results (361-370 of 3,000) with videos related to

Sort By:
Pageof 300
Neural Computation|November 6, 1998
Density estimation by mixture models with smoothing priorsUtsugi
Neural Computation|November 6, 1998
Complexity issues in natural gradient descent method for training multilayer perceptronsH H Yang, S Amari
Neural Computation|November 6, 1998
Almost linear VC-dimension bounds for piecewise polynomial networksBartlett, Maiorov, Meir
Neural Computation|November 6, 1998
Antipredictable sequences: harder to predict than random sequencesH Zhu, W Kinzel
Neural Computation|May 15, 1997
Similarity, connectionism, and the problem of representation in visionS Edelman, S Duvdevani-Bar
Neural Computation|May 15, 1997
Dynamic model of visual recognition predicts neural response properties in the visual cortexR P Rao, D H Ballard
Neural Computation|May 15, 1997
SEEMORE: combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognitionB W Mel
Neural Computation|May 15, 1997
Image segmentation based on oscillatory correlationD Wang, D Terman
Neural Computation|May 15, 1997
Stochastic completion fields; a neural model of illusory contour shape and salienceL R Williams, D W Jacobs
Neural Computation|February 9, 1999
Narrow versus wide tuning curves: What's best for a population code?A Pouget, S Deneve, J C Ducom, et al.
Pageof 300